The Journal of Korean Institute of Electromagnetic Engineering and Science (한국전자파학회논문지)

The Korean Institute of Electromagnetic Engineering and Science (한국전자파학회)
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Performance Improvement of AD-MUSIC Algorithm Using Newton Iteration

뉴턴 반복을 이용한 AD-MUSIC 알고리즘 성능향상

  • Paik, Ji Woong (Information and Communication Engineering, Sejong University) ;
  • Kim, Jong-Mann (Agency for Defense Development) ;
  • Lee, Joon-Ho (Information and Communication Engineering, Sejong University)
  • 백지웅 (세종대학교 정보통신공학과) ;
  • 김종만 (국방과학연구소) ;
  • 이준호 (세종대학교 정보통신공학과)
  • Received : 2017.08.30
  • Accepted : 2017.11.06
  • Published : 2017.11.30
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Abstract

In AD-MUSIC algorithm, DOD/DOA can be estimated without computationally expensive two-dimensional search. In this paper, to further reduce the computational complexity, the Newton type method has been applied to one-dimensional search. In this paper, we summarize the formulation of the AD-MUSIC algorithm, and present how to apply Newton-type iteration to AD-MUSIC algorithm for improvement of the accuracy of the DOD/DOA estimates. Numerical results are presented to show that the proposed scheme is efficient in the viewpoints of computational burden and estimation accuracy.

기존에 제안된 AD-MUSIC 알고리즘을 이용하여 2차원 탐색 없이 1차원 탐색을 반복함으로써 DOD/DOA 추정이 가능하다. 본 논문에서는 계산량을 더욱 감소하기 위해 1차원 탐색에 Newton 기반 기법을 적용한다. 본 논문은 바이스태틱 MIMO 레이다 시스템의 수신신호 모델링과 AD-MUSIC의 유도과정을 보이고, 뉴턴 반복 기법을 AD-MUSIC에 적용한다. 추정 시, 기존의 AD-MUSIC 알고리즘의 성능과 계산량이 탐색 간격에 영향을 받는 것에 반해, AD-MUSIC의 성능과 뉴턴기법을 적용하는 본 논문의 방법인 경우, 탐색 간격에 관계없이 우수한 성능을 보이고, 계산량 또한 감소하는 효과를 보인다는 것을 시뮬레이션을 통해 보인다.

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References

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